Fix error commands (#2778)

### What problem does this PR solve?

_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

Signed-off-by: Jin Hai <haijin.chn@gmail.com>

README_ja.md

@@ -137,7 +137,6 @@
 
    ```bash
    $ cd ragflow/docker
-   $ chmod +x ./entrypoint.sh
    $ docker compose up -d
    ```
 

README_ko.md

@@ -141,7 +141,6 @@
    > 다음 명령어를 실행하면 *dev* 버전의 RAGFlow Docker 이미지가 자동으로 다운로드됩니다. 특정 Docker 버전을 다운로드하고 실행하려면, **docker/.env** 파일에서 `RAGFLOW_IMAGE`을 원하는 버전으로 업데이트한 후, 예를 들어 `RAGFLOW_IMAGE=infiniflow/ragflow:v0.12.0-slim`로 업데이트 한 뒤, 다음 명령어를 실행하세요.
    ```bash
    $ cd ragflow/docker
-   $ chmod +x ./entrypoint.sh
    $ docker compose up -d
    ```
    

README_zh.md

@@ -137,7 +137,6 @@
 
    ```bash
    $ cd ragflow/docker
-   $ chmod +x ./entrypoint.sh
    $ docker compose -f docker-compose.yml up -d
    ```
 

docs/guides/configure_knowledge_base.md

@@ -58,7 +58,7 @@ You can also change the chunk template for a particular file on the **Datasets**
 
 ### Select embedding model
 
-An embedding model builds vector index on file chunks. Once you have chosen an embedding model and used it to parse a file, you are no longer allowed to change it. To switch to a different embedding model, you *must* deletes all completed file chunks in the knowledge base. The obvious reason is that we must *ensure* that all files in a specific knowledge base are parsed using the *same* embedding model (ensure that they are compared in the same embedding space). 
+An embedding model builds vector index on file chunks. Once you have chosen an embedding model and used it to parse a file, you are no longer allowed to change it. To switch to a different embedding model, you *must* delete all completed file chunks in the knowledge base. The obvious reason is that we must *ensure* that all files in a specific knowledge base are parsed using the *same* embedding model (ensure that they are compared in the same embedding space). 
 
 The following embedding models can be deployed locally:
 

docs/quickstart.mdx

@@ -181,11 +181,10 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
 
    ```bash
    $ cd ragflow/docker
-   $ chmod +x ./entrypoint.sh
    $ docker compose up -d
    ```
 
-> The core image is about 9 GB in size and may take a while to load.
+> The core image is about 1 GB in size and may take a while to load.
 
 4. Check the server status after having the server up and running:
 

docs/references/faq.md

@@ -75,7 +75,6 @@ $ git clone https://github.com/infiniflow/ragflow.git
 $ cd ragflow
 $ docker build -t infiniflow/ragflow:latest .
 $ cd ragflow/docker
-$ chmod +x ./entrypoint.sh
 $ docker compose up -d
 ```